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Sr. Manager, Machine Learning Engineering-Applied Research

San Francisco💼 Full-time💰 $227,871–$227,871🗓 2026-08-04 → 2026-09-26

Core

Lead a team of ML researchers and engineers to build and scale next-generation recommendation systems, balancing short-term business needs with long-term strategic breakthroughs.

Role type

Senior Engineering Manager (Machine Learning / Recommendation Systems)

Builds

Production-ready recommendation systems and foundational embeddings for web-scale data

Domain

Internet / E-commerce / Recommendation Systems

Deliverable

production ML models

Required skills

Recommendation systems, state-of-the-art ML techniques, team leadership, technical roadmap ownership, cross-functional collaboration, business acumen, technical communication, academic publishing

Preferred skills

LLM/Agentic workflows, generative AI, top-tier conference publications (KDD, RecSys, NeurIPS, CVPR)

Technologies

Modern ML frameworks, LLMs, Generative AI

Responsibilities

Own technical roadmap and strategic vision for recommendation systems; transition breakthrough ML research into production; manage and develop a team of ML researchers and engineers; collaborate with Core Engineering, Ads, Infrastructure, and Data Science teams; mentor and coach software and ML engineers.

Seniority

Senior, hands-on IC with people management

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